All Services

Filters camera coverage records (shot_count or coverage_seconds) to a numeric interval and fills missing values using zero, mean, or median imputation — returns 2 analytical reports for up to 200 rows.

Audits camera coverage records (shot_count, coverage_seconds) for data quality issues and generates a duplicate key report, returning two independent analytical reports for up to 200 rows.

Runs three analytical reports on camera coverage records (shot_count, coverage_seconds): record quality audit, exact row deduplication, and adjacent row change detection — all offline, up to 200 rows per call.

Runs three local analytical reports on camera coverage data (shot_count, coverage_seconds): record quality audit, exact row deduplication, and daily sum time series — up to 200 rows per call.

Runs three local analytical reports on camera coverage records — a record quality audit, exact row deduplication, and an equal-width histogram — for up to 200 rows of shot_count and coverage_seconds data.

Audits quality of camera coverage records (shot_count, coverage_seconds) and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Runs two analytical reports on supplied camera coverage records: a record quality audit and IQR-based outlier detection for shot_count or coverage_seconds fields, across up to 200 rows.

Runs a record quality audit and numeric distribution analysis on up to 200 camera coverage records (shot_count or coverage_seconds), returning two independent analytical reports.

Runs three local analytical reports on camera coverage records — record quality audit, string normalisation, and adjacent row changes — for up to 200 rows of shot_count or coverage_seconds data.

Runs three local analytical reports on camera coverage data (shot_count, coverage_seconds): a record quality audit, string normalisation, and a date-by-category pivot — all on up to 200 supplied rows, no external lookups.

Runs three local analytical reports on supplied camera coverage records (shot_count, coverage_seconds): a record quality audit, string normalisation, and duplicate key detection — for up to 200 rows.

Runs three offline analytical reports on camera coverage row data: a record quality audit, string normalisation check, and two-measure correlation between shot_count and coverage_seconds.

Runs two analytical reports on camera coverage data (shot_count, coverage_seconds): a record quality audit and a trailing mean time series, for up to 200 rows.

Normalises string fields and computes daily sum time series for camera coverage records (shot_count or coverage_seconds) across up to 200 rows.

Normalises string fields and flags IQR-based outliers in camera coverage records (shot_count, coverage_seconds) for up to 200 rows with 2 independent analytical reports.

Normalises strings and performs keyed dataset comparison on two sets of camera coverage records (shot_count, coverage_seconds), producing 2 analytical reports for up to 200 rows.

Computes a trailing mean time series and adjacent row changes for camera coverage data (shot_count or coverage_seconds) across up to 200 rows, returning two analytical reports.

Computes trailing mean time series and base-100 index series for camera coverage data (shot_count or coverage_seconds) across up to 200 rows, returning two analytical reports.

Computes a trailing mean time series and an equal-width histogram over camera coverage records (shot_count or coverage_seconds) for up to 200 rows, returning two analytical reports.

Computes a trailing mean time series and a secondary-measure weighted mean for camera coverage data (shot_count, coverage_seconds) across up to 200 supplied rows, returning two analytical reports.

Computes a trailing mean time series and a two-measure correlation report for camera coverage data (shot_count and coverage_seconds) supplied by the caller, up to 200 rows.

Runs two local statistical reports on user-supplied camera coverage data: a Pearson/Spearman correlation between shot_count and coverage_seconds, and a date-by-asset-group pivot table, for up to 200 rows.

Splits a campaign brief document (Markdown or plain text) into bounded text chunks of a specified maximum character size using deterministic processing.

Detects and reports duplicate paragraphs within a campaign brief document supplied as Markdown or plain text.

Masks email addresses and phone numbers found in campaign brief documents (Markdown or plain text, up to 20,000 characters) using deterministic pattern matching.

Generates a structured heading outline from a campaign brief document (Markdown or plain text, up to 20,000 characters) using deterministic document template processing.

Extracts and inventories all HTTP links found within a campaign brief document supplied as Markdown or plain text.

Scans a campaign brief document and inventories all ISO-date patterns found within it, returning a structured list of detected dates.

Extracts and inventories all quoted passages from a campaign brief document supplied as Markdown or plain text.

Reorders the recognised sections of a campaign brief document into a standard sequence using deterministic template logic.

Audits a campaign brief document to verify all required sections are present and complete

Generates a structured section template for a campaign brief from supplied Markdown or plain text, with deterministic formatting and no generative prose.

Scans a campaign brief document and reports coverage statistics for a user-supplied list of terms, using deterministic document processing with no generative AI.

Counts and ranks word frequencies in a campaign brief document supplied as Markdown or plain text (up to 20,000 characters).

Validates a campaign-imports CSV file and identifies blank rows, accepting up to 1000 rows with configurable delimiter, cell-length, and allowed category values.

Validates calendar date fields in a campaign import CSV, checking up to 1000 rows for date correctness against declared constraints.

Validates CSV cell lengths in campaign import data against a declared maximum, auditing up to 1000 rows for contract compliance.

Validates that all record keys in a campaign import CSV are unique, returning a uniqueness report for up to 1000 rows.

Validates a campaign import CSV (up to 1000 rows) against declared contract rules and returns a structured validation summary report.

Validates a campaign imports CSV file and exports a report of valid rows, checking up to 1000 rows against declared schema constraints.

Validates a CSV file of campaign import data for whitespace issues, checking up to 1000 rows with configurable delimiters and cell constraints.

Delivers sanitized Polymarket CLOB implied probabilities, bid-ask spread depth, and smart-money orderbook skew for high-volume prediction markets by category.

Computes a confusion matrix for a cancellation-reason classifier given up to 200 labelled text records with actual and predicted category labels.

Generates a fixed-holdout learning curve for a labelled cancellation-reason text dataset using a naive-Bayes classifier, showing how accuracy scales with training set size.

Audits up to 200 labelled text records for a cancellation-reason classifier, computing evaluation metrics such as accuracy, confusion matrices, and log-loss against four classes: price, usage, quality, and other.

Computes the label distribution (class balance) across up to 200 labelled cancellation-reason text records tagged as price, usage, quality, or other.

Evaluates a classifier's performance on customer cancellation-reason labels (price, usage, quality, other) by computing macro, micro, and weighted precision/recall/F1 scores from up to 200 labelled records.

Computes multiclass log loss metric for a cancellation reason text classifier across up to 200 labelled records with four classes: price, usage, quality, other.

Computes per-label precision and recall metrics for a cancellation-reason text classifier across four categories: price, usage, quality, and other.

Evaluates a supplied set of up to 200 labelled text records for cancellation reason classification, computing per-group metrics and naive-Bayes baselines without hosted model training.

Generates a taxonomy prompt template for classifying customer cancellation reasons (price, usage, quality, other) from up to 200 labelled text records.

Looks up an entity by ID to verify claims, retrieve academic papers, or explore journal content for AI agents

Retrieves statistical data or analytics about a given topic via the Canon fact-checking and academic research service

Retrieves fact-checking data or academic research for a given entity ID, enabling AI agents to verify claims and explore scholarly sources

Verifies claims and searches academic papers and journals for AI agents given a research topic

Retrieves verified facts, academic papers, and journal references for a given topic and date via the Canon research API.

Verifies claims and searches academic or factual content related to a given topic and date, returning structured results for AI agents.

Retrieves statistics or data analysis on a given topic for fact-checking and academic research purposes

Verifies claims and searches academic papers/journals for AI agents by resolving an entity ID against a research knowledge base

Searches academic papers, journals, and factual sources to verify claims and support research queries

Retrieves statistical data and analytical summaries on a given topic for fact-checking and academic research purposes

Looks up and verifies geographic facts, data, or claims about a specified location using academic and fact-checking sources.

Verifies claims and searches academic papers and journals by topic and date, returning research-backed fact-check results for AI agents.

Returns current political leaders for a given country, supporting fact-checking and research use cases.

Given a topic and language, returns a fact-checked summary with academic research context including relevant papers and journal references.

Retrieve fact-checked information and academic research about events on a given date and topic, for AI agents to verify claims and explore scholarly sources.

Retrieves a timeline of facts, papers, and references for a given topic to support fact-checking and academic research by AI agents

Verifies claims and searches academic papers/journals for AI agents, accepting an entity ID to retrieve fact-check or research results.

Retrieves a fact-checked research timeline on a given topic, supporting claim verification and academic paper discovery for AI agents.

Parses a webpage or supplied HTML to count the frequency of adjacent word pairs (bigrams) found in canonical URL declarations.

Checks whether a specific attribute (and optionally its value) is present on canonical URL link elements in a given webpage or HTML snippet.

Extracts distinct (unique) values from canonical URL link elements in a static HTML page, identified by a specified attribute and attribute value.

Parses a webpage or HTML snippet to identify canonical URL link elements that have empty or missing href values

Scans a web page or HTML snippet for invisible/unusual Unicode characters within canonical URL declarations and flags any anomalies found.

Statically parses a web page or supplied HTML to extract the joined text content associated with canonical URL declaration elements, filtered by a specified attribute and search term.

Parses a web page's canonical URL link element and compares its text or attribute value against a set of previously known strings to detect changes.

Extracts canonical URL declarations from a public web page or supplied HTML using static parsing, returning structured results.

Parses a public webpage or supplied HTML to extract context excerpts surrounding occurrences of a specified term within canonical URL declarations.

Parses a public webpage or supplied HTML to extract text length statistics for canonical URL declaration elements, without JavaScript rendering or login.

Counts word frequency across canonical URL declarations found in a static-parsed HTML page or supplied HTML snippet, optionally filtered by a specific term.

Returns editable source files for a browser-based Canvas 2D maze game using the balanced-11-d1 preset, configurable with a custom title, seed, and accent color.

Returns editable source files for a browser-based Canvas 2D maze game using the balanced-11-d3 preset, with configurable title, seed, and accent color.

Returns editable source files for a browser-based Canvas 2D maze game using the balanced-11-d4 preset, configurable with a custom title, random seed, and accent color.

Returns editable source files for a browser-playable Canvas 2D maze game using the balanced-15-d1 preset, with configurable title, seed, and accent color.

Returns editable Canvas 2D maze game source files using the balanced-15-d3 preset, customizable by seed, title, and accent color.

Returns editable source files for a browser-based Canvas 2D maze game using the balanced-15-d4 preset, configurable by title, seed, and accent color.

Returns editable Canvas 2D maze game source files using the balanced-19-d3 preset, with configurable title, seed, and accent color.

Returns editable Canvas 2D maze game source files for preset balanced-19-d4, configurable with a custom title, seed, and accent color.

Returns editable source files for a browser-based Canvas 2D maze game using the balanced-23-d1 preset, configurable with a custom title, seed, and accent color.

Returns editable Canvas 2D maze game source files for the balanced-23-d2 preset, configurable by seed, title, and accent color.

Returns editable source files for a browser-based Canvas 2D maze game using the balanced-23-d3 preset, configurable by title, seed, and accent color.

Returns editable source files for a browser-based Canvas 2D maze game using the balanced-27-d1 preset, configurable by title, seed, and accent color.

Returns editable Canvas 2D maze game source files using the balanced-27-d2 preset, with configurable title, seed, and accent color.

Generates editable source files for a braided maze game preset rendered with browser Canvas 2D, customizable by title, seed, and accent color.

Returns editable Canvas 2D browser maze game source files for the braided-11-d3 preset, customizable with a title, random seed, and accent color.

Generates editable source files for a browser-based Canvas 2D braided maze game with a specific preset, configurable title, seed, and accent color.

Returns editable source files for a browser Canvas 2D maze game using the braided-15-d3 preset, with configurable title, seed, and accent color.

Returns editable Canvas 2D braided maze game source files (preset braided-19-d1) with configurable title, seed, and accent color for $0.01 USDC.

Returns editable source files for a browser-based Canvas 2D maze game using the braided-19-d2 preset, with configurable title, seed, and accent color.

Returns editable Canvas 2D source files for a braided maze game with preset braided-19-d3, configurable title, seed, and accent color.